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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development FREE CHAPTER 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Explaining the simulation code

The sensor_sim_gazebo package has the following list of files for simulating all self-driving car sensors. Here is the directory structure of this package:

Explaining the simulation code

Figure 17: List of files in sensor_sim_gazebo

To simulate a laser, launch the laser.launch file; similarly, to start simulating the IMU, GPS, and camera, launch the corresponding launch files. Inside URDF, you can see the Gazebo plugin definition for each sensor. The sensor.xacro file is the orange box definition that you saw in the preceding simulation. It is just a box for visualizing a sensor model. We are using this model for representing all the sensors inside this package. You can use your own model instead of this, too.

The laser.xacro file has the Gazebo plugin definition of the laser, as shownhere:

      <gazebo reference="sensor"> 
        <sensor type="ray" name="head_hokuyo_sensor"> 
          <pose>0 0 0 0 0 0</pose> 
          <visualize...
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